This study compares the performances of the Markowitz (1952) mean-variance portfolio optimisation method and three alternative portfolio optimisation methods, namely, the conditional value-at-risk method, risk parity method and Kelly criterion, taking the nine Select Sector SPDR ETFs trading in the US stock market into account. All the analyses are performed primarily using the traditional static asset allocation approach that produces a single optimal portfolio for the entire period. Subsequently, we use the dynamic asset allocation approach, which produces different optimal portfolios for each month depending on the timing window of past returns. Sharpe, Calmar, Sortino, Treynor and Information ratios and Jensen’s alpha are used to compare the performances of the optimal portfolios. The findings show that the conditional value-at-risk method is the best performing of the methods examined.
Dynamic asset allocation portfolio optimisation conditional value-at-risk method Risk parity method Kelly criterion Dynamic asset allocation, portfolio optimisation, conditional value-at-risk method, Risk parity method, Kelly criterion
Dinamik portföy optimizasyonu Koşullu riske maruz değer yöntemi, Risk paritesi yöntemi Kelly kriteri
Primary Language | Turkish |
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Journal Section | Articles |
Authors | |
Publication Date | December 29, 2021 |
Submission Date | December 22, 2020 |
Published in Issue | Year 2021 Volume: 39 Issue: 4 |
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